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首页> 外文期刊>Frontiers in Plant Science >Selection of Reference Genes for Quantitative Real-Time RT-PCR Studies in Tomato Fruit of the Genotype MT- Rg1
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Selection of Reference Genes for Quantitative Real-Time RT-PCR Studies in Tomato Fruit of the Genotype MT- Rg1

机译:MT- Rg1 基因型番茄果实实时定量RT-PCR研究参考基因的选择

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Quantitative real-time RT-PCR (qRT-PCR) has become one of the most widely used methods for accurate quantification of gene expression. Since there are no universal reference genes for normalization, the optimal strategy to normalize raw qRT-PCR data is to perform an initial comparison of a set of independent reference genes to assess the most stable ones in each biological model. Normalization of a qRT-PCR experiment helps to ensure that the results are both statistically significant and biologically meaningful. Tomato is the model of choice to study fleshy fruit development. The miniature tomato ( Solanum lycopersicum L.) cultivar Micro-Tom (MT) is considered a model system for tomato genetics and functional genomics. A new genotype, containing the Rg1 allele, improves tomato in vitro regeneration. In this work, we evaluated the expression stability of four tomato reference genes, namely CAC , SAND , Expressed , and ACTIN2. We showed that the genes CAC and Exp are the best reference genes of the four we tested during fruit development in the MT- Rg1 genotype. Furthermore, we validated the reference genes by showing that the expression profiles of the transcription factors FRUITFULL1 and APETALA2c during fruit development are comparable to previous reports using other tomato cultivars.
机译:实时定量RT-PCR(qRT-PCR)已成为对基因表达进行准确定量的最广泛使用的方法之一。由于没有通用的参考基因进行标准化,因此标准化原始qRT-PCR数据的最佳策略是对一组独立的参考基因进行初始比较,以评估每个生物学模型中最稳定的参考基因。 qRT-PCR实验的标准化有助于确保结果在统计上和生物学上均有意义。番茄是研究肉质水果发育的首选模型。微型番茄(Solanum lycopersicum L.)品种Micro-Tom(MT)被认为是番茄遗传学和功能基因组学的模型系统。包含Rg1等位基因的新基因型改善了番茄的体外再生。在这项工作中,我们评估了四个番茄参考基因CAC,SAND,Expressed和ACTIN2的表达稳定性。我们证明了基因CAC和Exp是我们在MT-Rg1基因型的果实发育过程中测试的四个基因中的最佳参考基因。此外,我们通过显示转录因子FRUITFULL1和APETALA2c在水果发育过程中的表达谱与使用其他番茄品种的先前报道具有可比性,从而验证了参考基因。

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